人工知能学会第二種研究会資料
Online ISSN : 2436-5556
個々の特徴的な因果関係を発見する技術の開発とマーケティングデータへの適用
小柳 佑介上村 健人浅井 達哉金児 純司大堀 耕太郎
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研究報告書・技術報告書 フリー

2021 年 2021 巻 BI-018 号 p. 01-

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In this paper, we propose a framework for discovering characteristic causal relation-ships for each person or thing, such as each individual customer in marketing and each individualdefective product in manufacturing. Our method enumerates all correlations from a given set ofsamples and discovers characteristic causalities by applying a causal discovery method to all sub-sets of samples identified by conditions derived from the correlations. After that, we can obtain acharacteristic causality for each new sample by identifying a condition that the new sample satis-fies. We also report experimental results on real marketing data to show the effectiveness of ourmethod.

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